Reconstruction of shoulder MRI using deep learning and compressed sensing: a validation study on healthy volunteers

被引：0
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作者：
Thomas Dratsch
Florian Siedek
Charlotte Zäske
Kristina Sonnabend
Philip Rauen
Robert Terzis
Robert Hahnfeldt
David Maintz
Thorsten Persigehl
Grischa Bratke
Andra Iuga
机构：
[1] University of Cologne,Department of Diagnostic and Interventional Radiology
[2] Faculty of Medicine and University Hospital Cologne,undefined
[3] Philips GmbH Market DACH,undefined
[4] Hamburg,undefined
来源：
European Radiology Experimental | / 7卷
关键词：
Artifacts; Artificial intelligence; Deep learning; Magnetic resonance imaging; Shoulder joint;
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